0000000000382261
AUTHOR
Majda Lafhel
Movie Script Similarity Using Multilayer Network Portrait Divergence
International audience; This paper addresses the question of movie similarity through multilayer graph similarity measures. Recent work has shown how to construct multilayer networks using movie scripts, and how they capture different aspects of the stories. Based on this modeling, we propose to rely on the multilayer structure and compute different similarities, so we may compare movies, not from their visual content, summary, or actors, but actually from their own storyboard. We propose to do so using “portrait divergence”, which has been recently introduced to compute graph distances from summarizing graph characteristics. We illustrate our approach on the series of six Star Wars movies.
Measuring Movie Script Similarity using Characters, Keywords, Locations, and Interactions
Measuring similarity between multilayer networks is difficult, as it involves various layers and relationships that are challenging to capture using distance measures. Existing techniques have focused on comparing layers with the same number of nodes and ignoring interrelationships. In this research, we propose a new approach for measuring the similarity between multilayer networks while considering interrelationships and networks of various sizes. We apply this approach to multilayer movie networks composed of layers of different entities (character, keyword, and location) and interrelationships between them. The proposed method captures intra-layer and inter-layer relationships, providing…
Assessing movie similarity using a multilayer network model
International audience; This work investigates the movie similarity issue. A multilayer network model capturing various aspects of the story is built from movie scripts. Based on this representation, movies are compared not from summary or actors but using their storyboard. We rely on the "Portrait divergence" to quantify distances between graph characteristics. We illustrate the effectiveness of this approach in comparing movie series.
Exploring network distances for movies comparison
International audience
Graphes multicouches pour mesurer la similarité entre des films
Un système de recommandation des films propose à ses utilisateurs un ensemble de films similaires à leurs séries préférées, en se basant sur le principe de filtration, par exemple la filtration de leurs données personnelles. Ces dernières années, les réseaux sociaux sont devenus de plus en plus utilisés pour représenter et analyser des histoires de films[1][2][3]. Une étude [6] s'est appuyée sur les réseaux sociaux pour classifier les films par genre. D'autres études [4][5] ont utilisé les réseaux sociaux pour analyser des films à partir des rôles des personnages. A notre connaissance, il n'existe pas une technique qui permet de trouver la similarité entre deux films en calculant la distanc…